Skip to content
October 2026 results: WriteHuman holds #1, StealthGPT jumps to #2. Read the analysis →
HumanizerBench

Head to head · October 2026 cycle

Grammarly vs Humbot

Humbot finished 0.5 points ahead of Grammarly in the October 2026 cycle, 61.74 to 61.29, ranking #13 against #14 in a field of 14. Humbot scored higher on 5 of 6 detectors and 1 of 6 writing categories. Grammarly came out ahead on penalties (−3.0 vs −10.0), news article prompts (68.0 vs 44.9) and academic essay prompts (61.8 vs 40.8).

61.29 /100
overall score
#14 /14
rank ▼ 2
+0.45
Humbot leads →
Detectors
0 – 5 (1 tie)
Categories
5 – 1
Components
3 – 2
61.74 /100
overall score
#13 /14
rank -

30 prompts · Last tested · Methodology v1.3.0

Score components

What the overall score is made of: bypass rate weighs 42%, meaning preservation 32%, readability 16%, consistency across categories 10%. Output-quality penalties come off the total. How scoring works →

Bypass rate Humbot by 33.2
38.1 71.4
Meaning preservation Grammarly by 16.9
85.5 68.6
Readability Grammarly by 7.2
72.2 65.0
Consistency Humbot by 0.4
93.6 94.0
Penalties fewer is better Grammarly by 7.0
−3.0 −10.0

Detector by detector

Share of each tool's outputs that a detector classified as human-written. Humbot took 5 of 6, with 1 tied.

GPTZero Humbot by 62.6
3.0 65.6
Originality.ai Humbot by 41.7
52.4 94.0
Copyleaks Humbot by 35.1
58.2 93.3
Winston AI Humbot by 26.5
71.6 98.1
ZeroGPT Humbot by 33.6
43.7 77.3
Pangram Even
0.0 0.0

Writing categories

Category score per writing context: bypass credit only for real rewrites, blended with the category's own meaning preservation and readability. Small categories swing; the prompt count is shown on each row. How category scores work →

Academic Essay Application Essay Blog Post Marketing Copy Discussion Board News Article Academic Essay: Grammarly 61.8 · Humbot 40.8 Application Essay: Grammarly 62.3 · Humbot 74.0 Blog Post: Grammarly 56.8 · Humbot 37.1 Marketing Copy: Grammarly 57.7 · Humbot 48.7 Discussion Board: Grammarly 50.1 · Humbot 32.7 News Article: Grammarly 68.0 · Humbot 44.9
Grammarly Humbot Outer ring = 100
Academic Essay 6 prompts Grammarly by 21.0
61.8 40.8
Application Essay 6 prompts Humbot by 11.7
62.3 74.0
Blog Post 6 prompts Grammarly by 19.7
56.8 37.1
Marketing Copy 6 prompts Grammarly by 9.1
57.7 48.7
Discussion Board 3 prompts Grammarly by 17.4
50.1 32.7
News Article 3 prompts Grammarly by 23.1
68.0 44.9

Head-to-head history

Overall score in every cycle both tools were tested. Humbot has finished ahead in 4 of 4 shared cycles.

40 50 60 70 80 90 June 2026 July 2026 August 2026 October 2026 June 2026: Humbot 80.28 (#4) June 2026: Grammarly 56.50 (#12) July 2026: Humbot 66.42 (#5) July 2026: Grammarly 53.38 (#12) August 2026: Humbot 66.95 (#5) August 2026: Grammarly 52.91 (#11) October 2026: Humbot 61.74 (#13) October 2026: Grammarly 61.29 (#14) 61.3 61.7
Grammarly Humbot
Cycle Grammarly Humbot Margin
October 2026 61.29 #14 61.74 #13 → 0.5
August 2026 52.91 #11 66.95 #5 → 14.0
July 2026 53.38 #12 66.42 #5 → 13.0
June 2026 56.50 #12 80.28 #4 → 23.8

Where each one wins

Every measure above that one tool won outright, largest margin first within each group.

Grammarly

8 wins
  • Penalties Score −3.0 vs −10.0
  • Meaning preservation Score 85.5 vs 68.6
  • Readability Score 72.2 vs 65.0
  • News Article Category 68.0 vs 44.9
  • Academic Essay Category 61.8 vs 40.8
  • Blog Post Category 56.8 vs 37.1
  • Discussion Board Category 50.1 vs 32.7
  • Marketing Copy Category 57.7 vs 48.7

Humbot

8 wins
  • Bypass rate Score 71.4 vs 38.1
  • Consistency Score 94.0 vs 93.6
  • GPTZero Detector 65.6 vs 3.0
  • Originality.ai Detector 94.0 vs 52.4
  • Copyleaks Detector 93.3 vs 58.2
  • ZeroGPT Detector 77.3 vs 43.7
  • Winston AI Detector 98.1 vs 71.6
  • Application Essay Category 74.0 vs 62.3

Same prompt, both outputs

Both tools were given this AI-written passage in the October 2026 cycle. Below it is what each one returned. This prompt was picked by a fixed rule, not by how the tools scored.

Argumentative Essay · Academic Essay · written by gemini-3-8-flash · 431 words

**Title:** The Great Elevation: Why Generative AI Will Augment, Not Erase, Knowledge Work

The rapid ascent of generative artificial intelligence has ignited a familiar techno-panic: the fear that human intellect will soon be rendered obsolete. From legal analysis and computer programming to medical diagnosis and creative writing, doomsayers predict that large language models will hollow out white-collar professions. However, framed through the lens of economic and technological history, this anxiety is misplaced. Generative AI will not eradicate knowledge work; rather, it will elevate it by eliminating cognitive drudgery, democratizing elite expertise, and shifting the value of human labor toward high-order judgment and empathy.

Historically, automation transforms the nature of labor rather than its volume. When the spreadsheet was introduced in the 1970s, it did not eliminate accountants; it eliminated the tedious, error-prone manual calculations that consumed their days. Consequently, the demand for accountants skyrocketed as they transitioned from human calculators into strategic financial advisors. Generative AI represents a similar inflection point for knowledge workers. By automating information retrieval, initial drafting, and data synthesis, AI strips away the administrative friction of modern labor. This allows professionals to operate at the absolute peak of their cognitive capacity, focusing on critical thinking, strategy, and nuanced decision-making.

Furthermore, generative AI democratizes capability. In traditional corporate structures, the ability to produce high-level code, sophisticated market research, or polished visual assets required years of specialized training or massive capital. Generative AI levels the playing field, serving as a tireless research assistant, junior copywriter, and software architect for the individual worker. A single knowledge worker equipped with AI tools can now match the output of an entire department, supercharging productivity and enabling unprecedented entrepreneurial agility.

Crucially, AI lacks the faculties that constitute the true core of human knowledge: contextual intuition, ethical discernment, emotional intelligence, and genuine lived experience. A machine can synthesize existing data to predict probable outcomes, but it cannot navigate the moral ambiguities of a boardroom crisis, build trust with a grieving client, or possess the serendipitous creativity that births entirely new paradigms. In an AI-saturated market, these uniquely human traits will not decrease in value; they will become the ultimate competitive advantage.

Ultimately, the narrative that AI will render knowledge workers obsolete fundamentally misunderstands the essence of knowledge itself. Knowledge is not merely the regurgitation of patterns; it is the purposeful, contextual, and ethical application of insight to human problems. Far from an existential threat, generative AI is the catalyst for a modern intellectual renaissance, liberating the human mind from routine tasks so that it may engage with what truly matters: innovation, judgment, and connection.

Show the full input

543 words (input 431)

**Title:** The Great Elevation: Why Generative AI Will Augment, Not Erase, Knowledge Work

The quick rise of generative artificial intelligence has caused a well-known kind of technological anxiety: the worry that human intelligence will soon become unnecessary. People who predict disaster claim that large language models will wipe out white-collar jobs in fields such as legal analysis and computer programming as well as in medical diagnosis and creative writing. Yet when this concern is viewed in the context of economic and technological history, it turns out to be wrong. Generative AI will not eliminate knowledge work; on the contrary, it will raise the standard of such work by getting rid of routine mental tasks, make elite expertise available to a wider range of people, and shift the worth of human labour towards higher-level judgment and empathy.

In the past, automation has changed the character of labour rather than the amount of it. When the spreadsheet was brought in during the 1970s, it didn't lead to accountants being eliminated; instead, it got rid of the boring and error-prone manual calculations which had taken up so much of their time. As a result, the need for accountants increased greatly since they had moved from being human calculators to becoming strategic financial advisors. Today, generative AI is at another turning point for knowledge workers. Since it automates the processes of retrieving information, carrying out the initial drafting and synthesising data, the AI removes the administrative hassle associated with modern work. This enables professionals to work at the very highest level of their cognitive abilities, allowing them to concentrate on critical thinking, strategy and making nuanced decisions.

Generative AI also makes such capabilities more widely available. In conventional corporate setups, producing high-quality code, carrying out in-depth market research, or creating refined visual materials usually needed years of specialized training or a large amount of capital. Generative AI now equalizes the opportunity, acting as a constant research assistant, a junior copywriter, and a software architect for the individual employee. One knowledge worker who has access to AI tools can now achieve the same results as a whole department, thus greatly boosting productivity and allowing for a level of entrepreneurial flexibility never before seen.

Above all, AI does not have the abilities that make up the essential heart of human knowledge—namely, contextual intuition, ethical discernment, emotional intelligence, and real-life experience. While a machine may combine existing data to predict likely outcomes, it is unable to deal with the moral uncertainties that arise in a boardroom crisis, to build trust with a client who is grieving, or to have the spontaneous creativity that leads to the emergence of entirely new paradigms. In a market saturated with AI, these uniquely human qualities will not lose their value; on the contrary, they will become the greatest competitive advantage.

The idea that AI will make knowledge workers unnecessary completely misundersands what knowledge really is. Knowledge involves more than just repeating patterns; it means the deliberate, context-sensitive and ethical use of insight when addressing human problems. Rather than posing an existential threat, generative AI is in fact bringing about a modern intellectual renaissance by freeing the human mind from routine duties so that it can focus on what is truly important—innovation, judgment, and connection.

Show the full output
  • GPTZero0.00caught
  • Pangram0.00caught
  • Winston AI0.02caught
  • ZeroGPT0.29caught
  • Copyleaks0.00caught
  • Originality.ai0.79passed

Passed 1 of 6 detectors.

Every Grammarly run in October 2026 →

614 words (input 431)

Title: The Great Elevation: Generative AI will complement knowledge work; it will not destroy it.

Generative artificial intelligence has quickly grown in popularity. This growth has created a new round of technophobia. Many people worry that generative AI will replace human intelligence. They believe that generative AI can do most jobs such as law, programming, diagnosing illnesses, and writing. Some fear that generative AI will eliminate many professional positions in the workplace. However, if we look at technological and economic history we can see that these fears are unfounded. Generative AI will not eliminate jobs in the knowledge economy. Instead, generative AI will help make knowledge work more valuable. It will eliminate much of the mundane work involved with knowledge work. It will also allow everyone to have access to experts. Finally, generative AI will change how we view human labor. We will begin to value human labor for higher-level thinking and empathy.

Automation has historically altered how people work, but not necessarily how many people work. For example, when the first electronic spreadsheet became available in the 1970's, it didn't cause all accountants to lose their jobs. Rather, it replaced the tedious and error prone manual calculations that occupied much of each accountant's time. Therefore, as accountants were able to use the spreadsheet as a tool, the number of accountants needed increased significantly because they could focus less on being human calculators and more on being strategic financial advisors. AI is going to represent a similar pivotal moment for those who are considered knowledge workers. AI will automate most administrative tasks such as retrieving information, drafting documents, and synthesizing data. Therefore, AI will remove some of the administrative friction associated with working today. Professional knowledge workers will then be able to work at the highest possible level of their cognitive abilities and concentrate on developing new strategies, making complex decisions based upon subtle distinctions, and utilizing their critical thinking skills.

Generative AI also makes the capabilities of individuals more equal. Before AI, the ability to write complex code, conduct in-depth market research, or create professional quality graphics took many years of training or large amounts of money. AI provides a level playing field for everyone. It can serve as a research assistant, junior copywriter, and software architect for each individual employee. With the help of AI tools, one individual knowledge worker can produce as much work as an entire department. This allows companies to increase their productivity significantly and enables them to be more agile in terms of starting new ventures.

The fundamental differences between artificial intelligence (AI) and the human intellect are what define the true core of human understanding: context-based intuition, ethical decision making, emotional understanding, and most importantly, real-world experience. While machines can use current information to make educated guesses about future events, they do not have the ability to make decisions based on moral issues during a company crisis; they cannot establish trust with clients who are grieving; and they cannot develop creative solutions that create entirely new paradigms. These uniquely human attributes will remain highly valued in the AI-filled world we live in today and may eventually serve as the primary source of competitive advantage.

The notion that AI will make knowledge workers irrelevant is a fundamental misunderstanding of the very nature of knowledge. Knowledge is more than just regurgitating patterns; it is the purposeful, contextual, and ethical application of insights to solve human issues. Rather than being a danger to our existence, generative AI is a major contributor to a new intellectual renaissance, allowing individuals to spend less time on routine tasks and more on the things that are truly important: innovating, making judgments, and building relationships.

Show the full output
  • GPTZero0.89passed
  • Pangram0.00caught
  • Winston AI1.00passed
  • ZeroGPT0.73passed
  • Copyleaks1.00passed
  • Originality.ai0.77passed

Passed 5 of 6 detectors.

Every Humbot run in October 2026 →

Each chip is one detector's score for that output, from 0 (AI) to 1 (human). A score of 0.50 or higher counts as a pass and shows green; below that the detector caught it and the chip shows red.

Questions people ask

Is Grammarly better than Humbot?

Humbot finished 0.5 points ahead of Grammarly in the October 2026 cycle, 61.74 to 61.29, ranking #13 against #14 in a field of 14. Humbot scored higher on 5 of 6 detectors and 1 of 6 writing categories. Both tools ran the same 30 prompts, scored by the same 6 detectors, under methodology v1.3.0; every input, output and verdict is published.

Which bypasses AI detectors better, Grammarly or Humbot?

Humbot posted the higher bypass rate, 71.4 vs 38.1, and scored higher on 5 of 6 detectors. Humbot led on GPTZero, Originality.ai, Copyleaks, Winston AI and ZeroGPT.

Do Grammarly and Humbot keep the original meaning?

Grammarly preserved meaning better, 85.5 vs 68.6 on our 0–100 similarity scale. On readability, Grammarly rated higher, 72.2 vs 65.0. Penalties this cycle: Grammarly −3.0, Humbot −10.0.